Results 11 to 20 of about 56 (52)
NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data
In this study, wind speed sensitivity and calibration bias were first determined for Surface Water and Ocean Topography (SWOT) satellite Ka-band Radar Interferometer (KaRIn) Normalized Radar Backscatter Cross Section (NRCS) data at VV and HH ...
Lin Ren +7 more
doaj +1 more source
Abstract Accurate and timely reconstruction of sea surface wind fields from available scatterometer‐derived observations is essential for rapid‐response forecasting and operational oceanography. In this study, we explore a novel physics‐guided generative learning network to reconstruct sea surface wind vector fields directly from sparse scatterometer ...
Ran Bo +7 more
wiley +1 more source
Abstract Submesoscale (1–10 km) vertical velocities at fronts enhance the exchange of particulate organic carbon (POC) and heat between the surface ocean and depth. While POC and temperature can be readily assessed in situ, direct quantification of flux remains uncertain due to the observational challenges of measuring submesoscale vertical velocities ...
Sarah E. Lang +6 more
wiley +1 more source
On the Importance of the Jacobian of a DNN Observation Operator in Land Data Assimilation
Abstract A recent study (Shan et al., 2024, https://doi.org/10.1016/j.rse.2024.114167) showed that using a Deep‐Neural‐Network (DNN)‐based observation operator in land data assimilation (DA) does not guarantee improvements in surface soil moisture (WG2).
Xu Shan +5 more
wiley +1 more source
Abstract Spaceborne radiometers have enabled global sea‐ice distribution observations since 1978, yet design choices associated with conventional daily averaged remote sensing products mean they do not resolve higher‐frequency variability that characterizes Antarctic sea ice.
W. de Jager +3 more
wiley +1 more source
Abstract Land surface models are crucial components within earth system models, simulating the exchanges of water, energy, carbon, and nitrogen between the land surface, atmosphere, and subsurface. One challenge is the large number of uncertain parameters in these models.
Mikael L. A. Kaandorp +5 more
wiley +1 more source
Abstract The wide‐swath altimeter Surface Water and Ocean Topography (SWOT) provides unprecedented two‐dimensional sea‐level observations, whose ability to capture upper‐ocean dynamics requires assessment. The dynamically balanced signal and noise contributions in SWOT‐KaRIn Level‐3 (L3) sea level products are here originally quantified and contrasted ...
Margot Demol +9 more
wiley +1 more source
Roadmap for leveraging satellite data to advance soil moisture monitoring in Mainland Southeast Asia
Abstract Soil moisture monitoring is vital for Mainland Southeast Asia (MSEA), a region that plays a pivotal role in global agricultural production. Strong reliance on rain‐fed agriculture, combined with frequent hydroclimatic extremes, makes MSEA one of the world's most climate‐sensitive regions.
G. A. Chinthaka Ganepola +7 more
wiley +1 more source
Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning
Abstract Tropical cyclones (TCs) characterized by extreme wind speeds present severe hazards to human life and infrastructure. Spaceborne synthetic aperture radar (SAR) has emerged as a critical observational tool for TCs, owing to its all‐weather, high‐resolution imaging capabilities.
Chaogang Guo +5 more
wiley +1 more source
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones +21 more
wiley +1 more source

